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The market just told us: beats alone don’t cut it anymore.
Alphabet dropped $119.8B Q2 revenue and Cloud kept growing. $GOOGL still tanked 4% after hours.
Why? Eyes moved to the future. Capex guidance hiked to $195B–$205B for 2026, up from $180B–$190B. Free cash flow went negative. AI is huge, but Wall Street is asking: who’s paying for it?
Google + Microsoft + Meta + Amazon are set to spend $725B combined in 2026. That’s +77% YoY.
Tesla was quiet. Still holding 11,509 BTC since 2022. Took a $112M BTC-related loss, but didn’t sell. No panic. No buys. Just HODL.
What this means for crypto:
1. ETF inflows keep supporting $BTC
2. Crypto still tracks Nasdaq 100. Big Tech earnings = crypto sentiment now
3. Microsoft, Meta, Amazon up next. Their guidance will move both stocks and crypto
Trader edge: stocks sleep, crypto doesn’t. With OKX tokenized US stocks trading 24/7 in $USDT, $XGOOGL and $XTSLA stay live through earnings and weekends.
Will the next Big Tech reports fuel crypto or drag it down?
#DailyOrbit @OKX Orbit
#CXMTMemoryIPO
#FOMCRateWatch $BTC 周一早评：反弹只是情绪修复，并非趋势反转
大饼周一反弹至65400，核心推手是特朗普暂停对伊朗的军事打击，中东地缘风险降温，此前避险溢价回落，行情提前止跌回弹，属于超预期的情绪修复。
但这次反弹并不是买盘回归：现货ETF连续两日大额净流出超4.65亿美元，机构在撤退；交易所稳定币流入跌至数月低点，场内增量资金不足；反弹成交量萎靡，缩量上涨根基不稳。
上方关键阻力在65500-65800区间，没法放量站稳就只是短期震荡。本周美联储议息会议是核心变量，市场加息概率约35.8%，若释放鹰派信号，BTC大概率回踩64000甚至62500支撑。
原本预判的62500见底逻辑没变，只是地缘消息提前了反弹时间。情绪修复不等于趋势反转，本周消息面繁杂，短线多空博弈难度大，建议先观望，短期波动不改熊市末期的中期大方向。财报夜拆雷：谷歌在数钱，特斯拉在数“还剩几个月”
昨晚美股收盘后，我盯着谷歌和特斯拉的盘后走势，差点把咖啡喷在屏幕上。
一个涨4%，一个跌3%。冰火两重天。
但说真的，这俩公司的财报，就像两张完全不一样的高考答题卡——一张在认真算答案，另一张在空白处画变形金刚。
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谷歌：无聊，但有钱
先聊谷歌。847亿营收，超预期。广告回血，Youtube增速干到21%。
没什么惊喜，但稳得像中年人的保温杯。
电话会上那帮分析师不死心，追着问云业务AI到底赚了多少钱。谷歌CFO的回答翻译成人话就是：“我们确实在猛砸钱买芯片，利润暂时被吃掉了，但你们别急。”
市场居然买单了。盘后涨4%。
为什么？因为大家突然反应过来：这哥们儿是全班那个不偏科的优等生——搜索是保送名额，Youtube是特长加分，云业务就算暂时瘸腿，也架不住家里有矿。
唯一让我心里犯嘀咕的是，资本开支还要继续扩大。这意味着谷歌的AI故事，短期内依然是“烧钱模式”，不是“印钱模式”。22倍的PE，不算贵，但也别指望它像meme股那样天天给你涨停。
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特斯拉：除了储能，全是问题
再看特斯拉，我都不想说了。
汽车毛利率跌破14%。朋友们，这可是特斯拉啊，当年那个毛利率吊打BBA的怪物，现在跟普通合资厂坐一桌吃饭了。
交付量44.4万辆，环比几乎原地踏步。降价都降了个寂寞。
最要命的是FSD。全村的希望，AI落地的排头兵，订阅率卡在18%死活上不去。马斯克在推特上吹了那么多天的V12，结果用户根本不买账。
华尔街那帮人最狠，他们不看故事，看数据。数据出来，信仰崩塌，盘后直接再砸3%。
68倍的市盈率，卖的是“未来机器人霸主”的梦想。但你现在的表现，分明就是“卖着四年前老款车的车厂”，外加一个卖得不错的充电宝业务（储能确实亮眼，翻了一倍多，但体量还太小）。
我甚至有点毒舌地想：如果去掉“AI”两个字，特斯拉现在的估值，能不能有现在的一半？
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英伟达：被猪队友带沟里的真学霸
英伟达这周也跟着跌了8%，纯粹是躺枪。
H100还在缺货，H200排到明年，台积电的产线都快踩冒烟了。基本面一点问题没有。
但市场不管，先跌为敬。理由是：如果谷歌和微软自己都快养不起云业务的利润率了，那他们还会疯狂买你的芯片吗？
这是个好问题，但至少目前，没有数据支持这个逻辑。英伟达现在的处境，有点像学霸被两个学渣拖累了班级平均分，老师还得找他谈话。冤不冤？冤。但资金要避险，先跑为敬，这是人性。
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说点真心话
这轮下跌，不是AI死了，而是市场从“喝大酒吹牛B”切换到“拿计算器算账”了。
退潮之后，谁在裸泳？
· 谷歌是那个穿着泳裤、体型微胖的中年人，不好看，但淹不死。
· 英伟达是那个正在冲浪的肌肉男，浪还在，只是风变小了。
· 特斯拉？他可能穿着一条画满火箭的泳裤，但裤腰带松了。
如果非要我下注，目前这个价位，我更愿意捏着鼻子买谷歌。虽然无聊，但踏实。特斯拉需要证明的不是产能有多强，而是那套FSD能不能真正变成收费刚需，而不是一个昂贵的玩具。
AI下半场，市场只认一种人：能把算力变成真金白银的人。
讲故事的时代，过去了。
--- The U.S. annual interest on national debt is as high as $1.2 trillion, and this year's fiscal deficit is expected to exceed $2 trillion. Don't naively think the U.S. can't hold on; behind this lies profit-making and vested interests.
The interest is paid by American taxpayers, while the interest is paid by Treasury holders: overseas holdings hold 9 trillion US Treasuries, Japan holds the largest shareholding, China continues to reduce holdings, and most of the rest is held by domestic banks, funds, and pension funds.
Normally, buying government bonds means bearing interest rate volatility risk, but now that long-term US Treasury yields have broken through 5%, stablecoin issuers have played a trick. Take TEDA as an example: at the end of last year, 83% of its reserves were U.S. Treasuries, totaling over $122.3 billion. Users who buy 1 USDT only get the face value, and the 4%-5% interest generated by government bonds is all pocketed by the issuer. Last year, the Genius Act directly stipulated that stablecoin issuers could not pay interest to holders, confirming this profit-taking.
Exchanges tried to circumvent the rules through event rewards, but Bank of America immediately intervened, claiming that stablecoin interest payments would lead to an outflow of 1.3 trillion in bank deposits, repeatedly applying pressure under the Crypto Clarity Act. What banks truly fear is not the crypto industry, but the withholding of interest that should have been distributed to ordinary investors.
Holding stablecoins essentially means indirectly holding US Treasuries, but not getting corresponding returns. Many people hope the bill will blindly support the implementation of a bull market. Although I also hope the bill passes, the distribution of benefits is really unfair—the higher the yield on U.S. Treasuries, the more profits ordinary investors take. #参议院CLARITY法案下周或表决: Favorable Moments or Shortcoming? 好家伙，CoinGecko 的二季度报告显示：Crypto 总市值下降 12.6%，中心化交易所现货成交量更是下降 27.9%。 价格跌，交易也冷，说明市场缺的不是新故事，而是愿意持续进场的资金。 我的判断是，如果现货成交量后续仍没有明显恢复，市场较大概率还是以局部热点和短线反弹为主，很难迅速回到普涨节奏；反过来，成交量与稳定币资金同步回升，才可能成为风险偏好真正修复的信号。👀 仅作市场观察，不构成投资建议。如果RSI、MACD和成交量三项技术指标同时走弱，那么山寨币市场可能正在进入一个系统性风险释放阶段。
问题在于，这种技术面恶化是否已充分反映在价格中，还是仍有进一步下行的空间？
原文基于对超过100个山寨币的技术扫描，给出了五条关键信号，并指向一个偏空结论。这些信号包括：
- 超过65%的山寨币出现RSI顶背离，即价格创新高但RSI走低
- 超过70%的山寨币MACD柱状图正在收窄，显示上涨动能衰竭
- 超过75%的山寨币成交量低于20日均线，表明买盘缺乏燃料
- BTC市场占有率从54%升至56.8%，资金正在从山寨币回流比特币
- 仅8个山寨币呈现正向成交量背离，占比不到8%
上述信号共同指向一个结构性变化：资金正在从广泛的山寨币市场撤出，集中到比特币和极少数强势项目。这种仓位行为的改变，直接传导至ETH和SOL等主流山寨币，使其承压。风险偏好显著下降，投资者倾向于持有BTC而非追逐高贝塔资产。
偏多路径的条件：如果BTC市占率停止上升并回落至54%以下，同时成交量重新站上20日均线，那么上述背离信号可能被证伪，山寨币存在修复机会。但当前数据显示这一条件尚未满足。
偏空风险的条件：如果BTC市占率继续向58%甚至60%迈进，且成交量持续低迷，那么山寨币可能面临更深度的回调。原文提到的92个山寨币RSI已跌至35-48区间，成交量萎缩70%，CMF为负，说明资金流出尚未结束。
核心结论是，市场正在重定价山寨币的风险溢价。技术指标的集体走弱，叠加资金向BTC集中，意味着短期山寨币的持有成本上升、流动性下降。对于以BTC为锚的持仓者，这可能是一个相对安全的避风港；但对于重仓山寨币的策略，需要警惕进一步的下行风险。
主要风险在于，技术指标可能滞后于价格，且背离信号在极端行情中可能失效。建议交叉验证链上数据，例如交易所净流量和稳定币供应比率，以判断资金是否真正离场。
如果成交量无法恢复，山寨币的弱势可能延续至下一轮催化剂出现。
$BTC $ETH $SOLPCE 反彈後美股怎麼走
通脹粘性服務業功不可沒
通脹數據是美聯儲決策的錨。
核心 PCE 2.7%。服務通脹 4.1% 仍是主要推動力。
商品通脹 -0.3%。能源和耐用品價格回落，給通脹降溫做出貢獻。
工資增速 4.5%。高於通脹 2.7%，實際工資轉正。
組合配置永遠比單個標的判斷重要。
組合配置永遠比單個標的判斷重要。
📌 為什麼要把 PCE 放進資產框架
PCE 不是一個直接的買賣按鈕，它更像流動性和利率預期的背景變量。核心服務通脹如果持續有黏性，降息節奏可能放慢；商品價格回落則可能給政策留下空間。兩者方向相反時，市場往往先交易預期，再等待後續數據確認。
🧭 我會怎樣跟蹤
第一，看核心 PCE 的三個月和六個月趨勢，不只看單月變化。第二，看工資、住房和能源是否出現同向拐點。第三，看美債收益率、美元和風險資產是否對數據作出一致反應。數據和價格不一致時，我會先降低確定性。
⚠️ 風險提醒
市場預期會在正式數據前反覆變化，任何降息概率都不是承諾。宏觀數據也可能被修正，不能把一個指標包裝成確定答案。
🎯 最後的執行框架
把宏觀判斷用來調整風險預算，而不是用來預測每一個短線高低點；保留流動性，等政策與市場價格真正共振。
我會把這個話題拆成三層來看。第一層是可以直接觀察的數據，先記錄數值、時間和方向，避免只截一張圖就下結論；第二層是市場如何反應，數據改善但價格不動，和數據轉弱而價格仍然上漲，含義完全不同；第三層才是自己的操作，先寫下最大可承受損失，再決定是否需要調整倉位。這個順序看起來慢，但能減少被單一標題帶著走。
對我來說，通脹分項、利率預期和美元流動性要放在同一張表裡對照。每次更新只改變有新證據的部分，不能因為一個數字變化就把整個判斷翻轉。若三個觀察方向彼此矛盾，我會把結論降級為「等待確認」，而不是硬湊出一個看多或看空的故事。市場中最容易被忽略的成本，是過早確定之後不願意承認假設已經失效。
執行上我會先用觀察倉測試，等成交量、價格和基本面至少有兩項同向，再考慮增加曝險；若波動擴大或流動性變薄，則先縮小倉位。任何回測、歷史案例或 KOL 觀點都只能用來建立假設，不能代替當下的風險檢查。這篇內容是我的研究筆記，不是保證收益的買賣指令。
我會在下一次更新時重新檢查四件事：消息是不是仍然有效、價格反應有沒有確認、流動性是否足以執行，以及原本的風險假設有沒有被破壞。若只是社交媒體熱度上升，卻看不到成交量或資金的配合，我會把它當作待觀察訊號；若數據方向改變，也會同步修改原先的劇本，而不是為了維持面子繼續持有。
這種做法的好處是把「看法」和「行動」分開。看法可以保留多個可能性，行動則必須有清楚的觸發條件。對短線交易，我會設定時間上限；對中長線配置，我會檢查基本面和資金成本。無論最後結果如何，都把進場理由、退出理由和實際滑點記錄下來，下一次才有真正可以改進的復盤材料。
如果資料來源之間互相矛盾，我會先標記衝突，等原始公告或下一個時間點確認，不用社交媒體的情緒替代證據。這也意味著有些時候最好的操作是空倉等待，因為沒有交易本身也是對不確定性的管理。3.3 trillion! China's storage giant outperforms ICBC in one day, but the South Korean stock market crashes
On July 27, no new stock in A-shares history has ever been as crazy as today.
Changxin Technology, with an issue price of 8.66 yuan, opened at 49.5 yuan, soaring 471%. The opening market value reached 3.31 trillion yuan, directly surpassing ICBC, topping A-shares. Intraday it surged over 530%, with market value hitting 3.61 trillion yuan—trampling Intel underfoot.
The turnover in the first hour of listing broke 100 billion yuan, the first A-share stock in history to exceed 100 billion yuan in single-day turnover. The turnover rate was 53%, with half of the circulating shares changing hands in the first hour. One winning lot earned 20,000 yuan.
In ten years, from the “506” project in the suburbs of Hefei to the world's fourth largest DRAM manufacturer. Domestic storage crowned today.
But on the other side of the story, at the same moment in South Korea—
The KOSPI index opened up 1.7%, then plunged straight down. Samsung Electronics opened 3% higher but turned negative. SK Hynix opened 3.13% higher but directly reversed.
The $950 billion semiconductor cooperation agreement—Samsung + Broadcom 200 billion, SK + NVIDIA 750 billion—could not stop foreign and institutional investors from net selling 40 billion Korean won.
Good news exhausted. Again, good news exhausted.
A Chinese company goes public, and the South Korean stock market crashes first. Can you believe this scene?
A week ago, Anthropic just signed supply agreements with Samsung and SK Hynix. NVIDIA acquired 4.5% of Naver for $1 billion. Everyone said the Korean giants were secure, and the AI storage cake was theirs.
Then Changxin arrived.
In the global DRAM market, Samsung holds 38%, SK Hynix 29%, Micron 22%, three companies monopolizing 90%. Changxin? One year ago 3%, in Q1 this year already reached 8%. The world's fourth. Net profit is expected to be 50 to 57 billion yuan in the first half of 2026, with a year-on-year surge up to 2544%.
This is not "joining the game." This is flipping the table.
For the crypto world, this matter is much bigger than you think.
SK Hynix's tokenized stock $SKHY is already trading on Solana. Micron's tokenized version is also on Ethereum. If you have allocated storage chip assets through RWA—
your investment narrative must be rewritten from today.
"Duel of the two giants" turns into "three-way melee." The DRAM capacity pattern changes from a three-company monopoly to a four-player contest. Some predict Changxin's capacity will approach Micron's by the end of 2026.
What does this mean?
It means the pricing power of Samsung, SK Hynix, and Micron will be diluted. It means the profit margin in the high-end HBM market may be squeezed. It means the valuation logic of your storage-related crypto assets—whether tokenized stocks or projects in the AI computing power track—needs to be recalculated.
The world's most attractive storage target is listed at your doorstep, and you can only watch.
Storage chips are the hardest assets in this AI era. HBM price increases, DRAM shortages, AI server memory capacity is 10 times that of traditional servers. Samsung, SK Hynix, and Micron allocate 80% of advanced capacity to AI storage. The entire track is in short supply.
Now, Chinese players officially enter the pricing system.
$SAMSUNG $NVDA $SKHY
#长鑫科技上市，全球存储竞争添变量 美国自上周五起暂停对伊朗空袭，市场7月27日开盘直接定价：
布伦特原油 -6%，至$91/桶附近
WTI跌至$84以下
纳指期货高开1.4%
BTC重回$65,000上方
据CBS，暂停轰炸与阿曼官员上周五赴德黑兰会谈直接相关。伊朗陆军同步表示已暂停回应行动。预测市场对"8月31日前达成停火协议"的定价升至75%。
剧本很熟悉：地缘缓和→油价跌→风险资产涨。每次都这样，这次也没例外。
我个人觉得，75%的停火定价是目前最值得盯的数字——不是因为它一定会发生，而是因为一旦跌破，反向交易会很猛。上次停火协议不足24小时就破裂，市场有记忆，但每次还是先信再说。
霍尔木兹这条路，开了又关，关了又开。这次能撑多久？
#美军暂停对伊空袭，国际油价开盘大幅下跌 The market is now betting on which coin will get the ETF 👀 entry ticket first
Have you ever thought that when ETF expectations are hyped up in advance, the real game doesn't happen on the day of approval, but before the news is realized?
Recently, the US has quietly advanced the approval process for several crypto ETFs, from XRP to DOGE to SOL, with nine officially launched. There were also 13 players in line, including old friends like ADA, LINK, and XLM.
But what I find interesting is that many people focus only on "who will be criticized" and overlook another aspect—the cross-market linkage logic behind these coins.
For example, LINK and HBAR seem to represent a "strong ecosystem + strong institutional attention," but their trends are quietly following the pace of US tech stocks. When Nasdaq pulls back, no matter how strong the ETF expectations for these coins are, liquidity can easily drag them down. Meme stocks like DOGE are more betting on sentiment premium, with much less relevance to the US stock market.
In other words, the current narrative of betting on a particular coin's ETF is not just about its fundamentals, but also about whether its market style is favored by macro capital.
From a bullish perspective:
- If macro liquidity improves (such as rising expectations of rate cuts), coins that have already submitted applications and have a solid ecosystem may be the first to be bought by concentrated funds, because the ETF narrative itself is a "tradable story."
- For companies like ADA and LINK, which have already submitted applications, once there is clear progress, price elasticity will be significant.
But risks also lurk in the shadows:
- Currently, market expectations for ETFs have been partially priced in advance. If the approval pace is slower than expected or delayed by the SEC, these coins may experience a "good news exhausted" pullback.
- Cross-market linkage means that if US tech stocks experience a systemic decline, coins with strong ties to US stocks may be dragged down, and no matter how strong the ETF narrative is, it can't withstand liquidity contraction.
So the current stage is more like a "game divergence period": it's not simply chasing gains or washing stocks, but the market waiting for a clear signal to confirm whether the narrative holds.
My judgment is: in the short term, focus on watching more than making moves, and focus on the resilience of ETF-related coins during US pullbacks. If they can hold firm, that's when they truly deserve attention.
(The above is just my personal thoughts while watching the market and does not constitute any trading advice.)
$ADA $LINK $HBAR #ETF叙事 #跨市场观察At least 29 overseas cryptocurrency exchanges in South Korea have reportedly become unavailable for downloads on their local Google Play stores.
South Korea has always been one of the most active cryptocurrency trading markets globally, with impressive investor participation and trading volume, often becoming a major force influencing market sentiment. Once an exchange app is restricted from downloading, it affects not only new user registrations but may also involve subsequent updates, account login, asset operations, and service support for existing users. If restrictions continue to expand, it could impact user growth, capital flow, and market confidence on exchanges.
@OKX Chinese: Is this news true?On the eve of the FOMC, BTC is completing a healthy leverage reset
BTC quickly rebounded after hitting $63,666, rising back to around $64,500 at the time of writing. In the past 24 hours, the entire network liquidated $323 million, with long liquidations accounting for 84%. This is a typical leverage clearing rather than a panic sell-off.
1. The core contradiction of this decline lies in macro factors
The 10-year US Treasury yield broke through 4.71%, hitting a new high for the year; oil prices rose above $100/barrel due to Middle East tensions. CME data shows the probability of a rate hike in September has surged to 82%.
A bigger variable is this week—at 2:00 AM Beijing time on July 30, the Federal Reserve will announce its interest rate decision. The market expects rates to likely remain unchanged (3.50%-3.75%), but the key lies in the post-meeting statement and Chair Powell's press conference.
Bloomberg predicts that Dallas Fed President Logan and Cleveland Fed President Mester may vote against, favoring an immediate rate hike. If there are two dissenting votes, it would signal a rate hike in September.
On-chain data shows different signals. Gate.com analysts point out that the number of long-term Bitcoin holders currently at a loss has exceeded the level during the FTX crash, approaching the 2018 bear market level, with Bitcoin priced around $50,000. This implies two directions: long-term investors’ unrealized losses deepen, but true bottoms often form after chips have fully changed hands.
2. Technicals: Key ranges are being repeatedly tested
BTC is currently oscillating narrowly between $64,300 and $64,900, with short-term momentum weak but structure intact.
Key levels:
Resistance above: $64,800-$64,900 (1-hour long-short dividing line), $65,200-$65,400 (4-hour moving average resonance pressure), $66,600-$66,900 (daily strong resistance)
Support below: $63,700-$63,800 (short-term buying concentration), $63,100-$63,300 (50-day moving average and mid-term lifeline), $61,200-$62,500 (extreme trend support)
Core logic in a range-bound market: defend support and closely watch resistance. Before the FOMC, a narrow range-bound continuation with no trending market is highly probable.
3. Trading strategy
Remain cautious before the meeting.
Long side: If BTC retraces to $63,700-$63,800 with signs of volume contraction and stabilization, consider light long positions with a stop loss at $62,800, target $65,200-$65,500, risk-reward ratio about 2:1.
Short side: Avoid for now. Current price still has room before resistance, and ETF net inflows have continued for three consecutive weeks without breaking trend, making counter-trend shorts unfavorable in risk-reward.
4. Key variables
Three FOMC scenarios: Hawkish (high probability) → BTC falls back to test $63,000; Neutral → maintains $63,000-$65,000 range; Dovish (low probability) → pushes $64,850-$65,300.
Final notes
The core of this decline is leverage clearing, not fundamental deterioration. The quick recovery near $63,600 shows buying remains. The real test is the FOMC meeting; before that, the $63,700-$64,900 range will likely continue to consolidate.
The direction will emerge. No rush. Three Benchmarks to Test the Quality of AI: Understanding the Trends of Microsoft, Meta, and Amazon #财报观察员：微软Meta亚马逊能稳住AI叙事吗？
1. The True Quality of AI Narratives from the Three Companies
1. Microsoft: The Only One with "Cash Flow + AI Revenue Dual Verification," Strongest Narrative Resilience
Core Financial Data
1. AI annualized revenue exceeded $37 billion, a year-over-year surge of 123%, the only company among the three to separately disclose AI-specific revenue and maintain triple-digit growth; Azure cloud backlog orders reached $462 billion, nearly half from long-term enterprise AI contracts, demonstrating strong customer stickiness.
2. Annual capital expenditure around $105 billion; despite continuous investment in OpenAI compute clusters, free cash flow over 12 months was $66.9 billion, a significant year-over-year increase, with AI investments fully covered by internal cash flow, no need to overdraw the company’s foundation.
3. Product closed-loop barriers: Office Copilot enterprise paid penetration rate exceeded 41%, B2B customers willing to pay an additional 30% for AI features, a rare industry case of direct AI price monetization.
Narrative Advantages and Risks
✅ Supporting logic: AI is not just a cloud ancillary service but an independent second growth curve; the software-native light-asset nature offsets compute investment costs, with a very thick cash flow safety cushion, and the market is willing to give a long-term valuation premium.
⚠️ Potential cracks: 45% of AI cloud contracts are tied to OpenAI, indicating high customer concentration; Azure growth slightly slowed to 39%, and pure compute rental gross margin continues to be compressed by GPU procurement costs.
Conclusion: The most stable AI narrative among the three; as long as AI annualized revenue maintains growth at the hundred-billion level, capital expenditure pressure will not shake the fundamentals.
2. Meta: No ToB AI Infrastructure, Relies on Advertising Efficiency for Revenue Growth, Narrative Follows a Differentiated Segmentation Path
Core Financial Data
1. Annual capital expenditure raised to $115-$135 billion, all invested in self-developed large models, AI recommendation algorithms, and VR compute clusters; total advertising revenue up 33% year-over-year, with AI-optimized feed contributing 70% of incremental revenue.
2. No external AI compute rental business, does not make money by selling GPUs; AI is fully internalized to serve the advertising main business: AI recommendations reduce customer acquisition cost by 22%, ad conversion rate up 18%, directly boosting ad profits.
3. Cash flow buffer: Advertising business continuously and stably generates cash, with quarterly operating cash flow exceeding $32 billion, sufficient to cover AI R&D and compute investments, no risk of negative cash flow turnover.
Narrative Advantages and Risks
✅ Supporting logic: Takes a completely different AI path from Microsoft and Amazon, avoids heavy-asset cloud infrastructure, turns AI into a tool to reduce advertising costs and improve efficiency, commercialization path with zero external dependency, shortest profit realization cycle.
⚠️ Potential cracks: Consumer large model Threads and Meta AI user growth slowing, consumer AI has not yet formed independent revenue; if the advertising industry cycle declines, AI optimization-driven increments will shrink accordingly, lacking a second growth curve.
Conclusion: Short-term narrative is solid, but long-term ceiling is tied to the global advertising market, making it difficult to develop an independent AI valuation trend.
3. Amazon: Most Aggressive AI Infrastructure Investment, Heaviest Cash Flow Pressure, Highest Narrative Risk
Core Financial Data
1. 2026 annual capital expenditure approaching $200 billion, highest among the three, mostly for AWS AI data centers and Trainium self-developed AI chip production lines; free cash flow in the past 12 months plunged from $25.9 billion to $1.2 billion, market institutions warn of possible negative cash flow turnover in 2027.
2. AWS cloud revenue grew only 28% year-over-year, below the market expectation of 30%; although AI backlog orders are $364 billion and self-developed chips locked in $225 billion long-term contracts, AI compute rental gross margin continues to decline, many orders are low-price lock-in, difficult to convert to profit in the short term.
3. Business fragmentation: Retail segment has almost no AI monetization, AI growth fully relies on cloud business; if enterprise customers reduce IT budgets, AI revenue will be directly pressured.
Narrative Advantages and Risks
✅ Supporting logic: The world’s largest AI compute supplier, Trainium self-developed chips free from Nvidia dependence, with significant long-term compute cost advantages; institutional funds are betting on profit realization after 2027.
⚠️ Core cracks: Currently in a "high investment, low return" cycle, cash flow continuously consumed by compute infrastructure; the market has lost patience, stock price has repeatedly dropped after earnings due to downward capital expenditure guidance, making it the most fragile AI narrative among the three.
Conclusion: Short-term narrative faces loosening risk; must wait for AI chip gross margin recovery and free cash flow stabilization to reestablish AI growth logic.
2. Three Golden Benchmarks to Judge Whether AI Narratives Can Sustain
Most market reviews only compare AI revenue growth rates, ignoring the underlying constraints of capital expenditure and cash flow. To truly test the quality of AI narratives, look at three points:
1. Benchmark One: Whether AI revenue is independently incremental rather than cloud business bundled and inflated
Microsoft separately breaks down AI annualized revenue; Meta relies on advertising efficiency to clearly show AI increments, making their narratives more credible; Amazon classifies all compute rentals as AI, unable to distinguish traditional cloud from AI new orders, raising suspicion of narrative inflation.
2. Benchmark Two: Whether free cash flow can cover annual AI capital expenditure
The industry has entered a heavy-asset era; AI is no longer a light-asset software business. If cash flow is insufficient to cover compute investments, it means the company is continuously overdrawing future profits for short-term AI stories. Once financing tightens, the narrative collapses directly. Microsoft and Meta meet cash flow standards; Amazon has a clear gap.
3. Benchmark Three: Whether AI has pricing power rather than relying on low-price order grabbing
Office Copilot’s ability to charge separately for AI features is a sign of sustainable commercialization; AWS and cloud providers generally compete for customers with low-price compute, using price wars to gain scale, which will continuously depress profit margins, raising doubts about AI growth quality. #长鑫科技上市，全球存储竞争添变量
That's how impressive it is: ChangXin Memory Technologies officially debuted on the STAR Market today, opening at ¥49.5, up 471%, with its market cap briefly hitting ¥3.7 trillion, directly becoming the top stock in the A-share market. One standard lot earned ¥20,000, and the first hour's trading volume broke ¥100 billion, making it the first A-share stock in history to surpass ¥100 billion in single-day trading volume. Ten years of hard work, truly shocking.
But interestingly, while ChangXin soared, other storage stocks in the A-share market all fell. Gigadevice dropped 5.5%, Protronics fell over 6%, and Bawei Storage and Jiangbolong also declined. In the same sector, the leader's listing drained the smaller players. The funds are limited and all chased ChangXin, so other stocks were naturally sold off. Moreover, ChangXin is a pure DRAM foundry, a type of stock previously absent in the A-share market; other storage stocks are either module manufacturers or distributors, so the logic differs.
ChangXin's global DRAM market share rose from 4.7% in Q4 last year to 7.6% in Q1 this year, surpassing Nanya Technology to become the world's fourth largest. It is expected to net over ¥50 billion in the first half of this year. However, 98% of its revenue comes from traditional DRAM—commodity-grade chips used in servers and smartphones. The most profitable HBM (High Bandwidth Memory), used stacked in AI servers, is almost nonexistent for ChangXin. The three major giants have a technology gap measured in years in this field. Micron earns $28.2 billion in one quarter with an 86% gross margin. ChangXin is still far from earning that kind of money.
More critically, capacity is key. ChangXin raised ¥57.9 billion this time, nearly double the original plan. All this money will be invested in production line upgrades and next-generation DRAM R&D. Morgan Stanley predicts ChangXin's monthly wafer capacity could reach 388,000 by 2028. Counterpoint analysts say it could exceed 300,000 by the end of this year, close to Micron's level. But the technology lags by two generations, and the time gap is three years. Even if capacity catches up, the products are still from the previous generation. Additionally, EUV lithography machine export controls to China are tightening, making advanced process equipment the biggest bottleneck.
The long-term impact of this is much greater than the short-term. The memory chip industry’s boom always ends with the same script—during the upcycle, everyone expands production wildly, new capacity is released in clusters, supply-demand reverses, and prices crash. ChangXin’s listing has armed China’s DRAM industry with a stockpile. In the short term, the high-end profit zones of companies like Micron are temporarily safe, but in three to five years, if ChangXin truly catches up in capacity and technology, the global memory pricing power structure will have to be rewritten. It’s not a matter for today, but today marks the beginning.🚨 $FWA LOOKS LIKE A CASINO — BUT THE NUMBERS ARE WHAT REALLY MATTER.
Here’s the simple breakdown:
«Fake World Assets is basically an on-chain gacha machine built on ETH.»
You put in roughly 0.117 ETH for a random NFT position.
Then you have two choices:
🎰 Keep the NFT you pulled
💰 Or sell it back for 85% of its ETH backing
And these aren’t random junk NFTs either — the system can involve NFTs from major collections.
The interesting part?
There’s no NFT price oracle.
No floor-price feed. No external pricing mechanism.
The depositor sets the ETH backing, and that single number determines the sale price, selection odds, and stake.
But here’s where it gets wild:
🎲 Drawing has roughly -21% EV.
Across 1,981 real settlements, the average dump was around -18.1%.
That’s an incredibly heavy rake — and it’s openly disclosed in the docs.
LPing tells a different story:
📈 Roughly +8.9% per cycle
🖼️ You keep your NFT about 94.5% of the time
But there’s a catch…
LPs are essentially taking a quiet short position on NFT floor prices.
And then there’s the $FWA token.
Right now, it has zero value accrual.
Buybacks have paid out $0 since launch.
Meanwhile, emissions are running at 2% of total supply per day — and they're scheduled to end on August 4 at 19:01 UTC.
🔥 That date could be the real turning point.
Current protocol revenue is reportedly around $289K/day on day 7, which is roughly 2.3x Collector Crypt while sitting at just 11% of its valuation.
But here's the real question:
Can that revenue actually last after the emissions end?
Because if the revenue is sustainable, $FWA could get very interesting.
If it isn't…
The tokenomics could tell a completely different story.
$FWA 👀
#DailyOrbit 🔥 $ETH Breaking: ETH Current Price 1957 Strategy Summarized! The 1957 resistance level determines strength; avoid blindly chasing the rally
🔸 Core Key Price | Current Price 1957
Short-term resistance: 1957
Core watershed: 2000 integer threshold
Short-term support: 1890
Trend Lifeline: 1840
Market boundaries:
With increased volume, it held above the 1957 level, with the bulls continuing their recovery and challenging the 2000 watershed upward;
Multiple attempts to break through 1957 with no volume under pressure and a long upper shadow close, with bullish momentum exhausted. It is highly likely to pull back to the 1890 support and fluctuate to digest floating shares; Effectively breaking below 1840, this round of rebound structure has been broken.
✅ Clear practical approach
Portfolio Partners: Gradually reduce positions and defend near the 1957 resistance range. Do not hold heavy positions and stubbornly break through 2000 directly. Beware of concentrated profit-taking after a pulse surge.
Watching his teammates: Not chasing the current pressure level to sprint! Two prudent plans
(1) Wait for a pullback near 1890 to stabilize, then choose the right time to buy on dips;
(2) Wait for volume to stabilize above 1957, confirm a valid breakout on the hourly chart, then follow after pullback.
Unlimited volume sprint above 1957, blind chasing and gambling is prohibited!
⚠ A rational reminder
Ecological narratives determine long-term value, while trading volume determines the height of short-term rebounds.
Volatility at the resistance level has intensified, with frequent spike rallies. Leveraged traders strictly control their positions and cut losses; avoid one-sided heavy positions and bet on breakouts!
💬 Interactive Q&A: Thought process organized! Are you optimistic that ETH will break through 2000 and continue the rebound, or will it hit resistance at 1957 and fall back into consolidation?
$ETH
⚠ This is only a market strategy exchange and does not constitute any investment advice
Main line targets within the market
$JELLY $OPG $SLX $LAB $CORE $BSB $ALLO $CHIP
⚠ Stability priority: ALLO, BSB🚨 This might be one of the most misunderstood crypto projects right now.
Here's the TL;DR on $FWA (Fake World Assets) 👇
🌀 Think of it as an on-chain gacha machine built on Ethereum.
You pay around 0.117 ETH for a random NFT position. Once you reveal it, you can either:
• Keep the NFT 🖼️
• Sell it back instantly for 85% of its ETH backing 💰
The twist? There are no price oracles or floor-price feeds.
The ETH backing chosen by depositors determines everything:
The NFT's sale price
Your odds of drawing it
The amount at stake
It's an unusually simple system.
🎰 For players, the math isn't great.
Across 1,981 real settlements, the average sell-back loses about 18.1%, making each draw roughly -21% expected value. The protocol is upfront about this in its documentation.
💧 For liquidity providers, the story is different.
LPs earn roughly +8.9% per cycle and keep their NFT about 94.5% of the time—but they're effectively taking the risk if NFT floor prices fall.
🪙 As for the $FWA token...
Right now, it has no direct value accrual. Buybacks have totaled $0 since launch.
The key date is August 4, 19:01 UTC, when emissions of 2% of total supply per day come to an end. That could become a major turning point.
📈 The protocol is reportedly generating around $289K in daily revenue (day 7), about 2.3× Collector Crypt's revenue despite having only ~11% of its valuation.
The real question isn't whether it's making money today—it's whether that revenue is sustainable once emissions end.
What do you think: hidden gem or cleverly designed casino? 👇#DailyOrbit Aave V4 is now available on Avalanche.
This is the first time since V4 completed Ethereum deployment to expand to other public chains.
The first batch of structures to launch includes a core liquidity center, as well as the main market, AVAX-related asset market, and forex market.
What makes this expansion noteworthy is not just that it adds support for another chain.
V4's new structure allows different lending markets to share underlying liquidity while using their respective collateral and risk rules.
If this mode runs stably,
The competition in DeFi lending will gradually shift from "which chain has the most funds" to "who can more efficiently manage multi-chain liquidity."
$AAVE $AVAXStop obsessing over FOMC historical data to predict rises and falls; the core truth has never been fully revealed.
Right now, the internet is flooded with contradictory Federal Reserve meeting statistics. Both bulls and bears each use a set of data to convince retail investors, making it seem reasonable, but in reality, it's all fragmented and one-sided information.
Some statistics show that in the past nine FOMC meetings, eight sessions saw sell-offs one week after, with an average seven-day drop close to 11%;
Another set of data shows that in the past seven meetings, five resulted in upward trends, with an average gain as high as 17.6%;
Long-term cycle data is completely different, with an average 0.9% rise 5 days after the meeting, 3.9% after 10 days, and a direct 11.1% increase after 20 days.
Conflicting data contradict each other, so simply predicting the market based on meeting results is fundamentally unfeasible.
What truly determines market direction is never the FOMC decision itself, but the market sentiment before the decision is released.
When greed is at its peak, the Fed meeting becomes the perfect excuse for major players to offload positions; when the market is deeply fearful, the meeting instead acts as a catalyst for price rallies.
Comparing all current market signals, the present market environment is very clear:
BTC price has stabilized above the key 65000 moving average, with technical structure support;
The Fear & Greed Index is 39, indicating the market is in a fear zone, with no overheated bubble from chasing highs;
Oil prices continue to fall, significantly easing inflationary pressure;
Employment data remains strong, stabilizing the macroeconomic fundamentals;
Market expectations for rate hikes have surged from 13% to 38%, with bearish sentiment already priced in.
Here is a practical strategy tailored for this Fed decision:
You can gradually build a base position below 65000, with stop-losses uniformly set at the previous daily low; this setup offers a very favorable risk-reward ratio.
Do not heavily bet on one-sided moves in the next two days; wait for the decision to drop early Thursday morning before making any decisive moves.
Just focus on the first 15-minute candle after the announcement to determine subsequent actions:
If the official statement mentions phased progress on inflation and easing expectations rise, BTC is likely to surge directly to test the 68000-69000 range;
If there is an unexpected hawkish rate hike, short-term volatility will spike sharply, but since the market is already in a fear zone, this sudden bearish shock could create a rare golden buying opportunity.
Many people lose big every Fed meeting because they blindly rely on historical data and ignore current market sentiment. Don’t fall into the same trap this time.
Are you choosing to wait and watch for the outcome, or have you already started building positions gradually? #美联储周四凌晨公布利率决议 🚨 Everyone's watching AI chips... but the real battle might be happening in memory.
China just made its biggest move yet.
CXMT (ChangXin Memory) debuted on the STAR Market with a 3.31 trillion yuan valuation, instantly becoming the largest stock on China's A-share market. 🔥
That means the global memory race is no longer just Samsung vs. SK Hynix.
Just last week, Anthropic locked in memory supply deals with Samsung and SK Hynix, while Nvidia strengthened its AI partnerships in Korea.
Now, China has officially entered the conversation with a publicly traded memory giant. 👀
The market reacted fast.
KOSPI surged more than 1.7% at the open before reversing, as investors began pricing in the possibility of a third major DRAM player. 📉
From here, keep your eyes on two things:
📌 DRAM contract prices
📌 CXMT's capacity expansion
If supply ramps faster than demand, pricing power could come under pressure—even for today's leaders.
The big question is simple:
Can AI demand support three global memory giants, or is a price war inevitable? 🤔
How are you playing this theme—Korean chip stocks, AI names, or China's A-shares? 👇
#CXMTMemoryIPO
#DailyOrbit 周末很热闹，“交易所排队倒闭”成了热门话题。没有政策压迫，没有黑客攻击，忽然一家又一家的关门，啥原因？
我不懂交易所运营，只是作为一个十多年的老币民直观地觉得，应该是不赚钱，甚至亏钱了。说一千到一万，开门做生意，是要赚钱的，每天一睁眼，辣么多人等着发工资，辣么多日常开支，不赚钱怎么撑得住？
我觉得交易所应该有两大块收入，一个是赚交易者的手续费，现在这个钱不好赚了，熊市太久了，进来就是被套被割，赚钱效应太低，加之股市高歌猛进，新人不来，老人又被消灭或者吸引去了股市，没人交易自然也别想赚手续费了。
交易所的另一块收入，应该是赚上币费之类的发币项目的钱，熊市币圈项目难拿投资，发币的少了，另外头部大所持续大搞Alpha，成为新项目上币的首选途径。所以中型所也赚不到什么项目发币的钱了。
既赚不到手续费，又赚不到上币费。而中型所家大业大，天天吃老本怎么撑得住？放眼熊市还看不到头，所以，只剩下一条路，关门止损。
按照以往的经验，每每交易所纷纷扛不住歇菜的时候，往往就是熊市见底的信号，也不知道这老经验这回还能不能显灵，让我们一起祈祷吧。 #英伟达拟为OpenAI提供2500亿美元担保
2500亿美元——英伟达正在谈判为OpenAI提供一笔巨额融资担保，用于租赁软银在俄亥俄州开发的10吉瓦数据中心项目。 这不仅是AI热潮中最大的一笔金融交易，也标志着英伟达的角色从“AI卖铲人”升级成了“AI基建银行”。
英伟达正在用资产负债表，为AI的未来买单——同时确保未来的订单继续流向自己。
---
① 交易细节：2500亿担保，撬动5000亿项目
这笔担保将帮助OpenAI租赁软银在俄亥俄州南部开发的10吉瓦数据中心园区。项目总成本可能超过5000亿美元，其中英伟达的担保将覆盖数据中心租赁与建设所需的债务，但不包含其中部署的英伟达芯片。此外，英伟达还在讨论另一笔为OpenAI采购芯片提供融资的交易，规模可能高达3500亿美元。
这笔交易的核心逻辑是：OpenAI作为一家尚未盈利的私人企业，缺乏投资级信用评级。英伟达的信用背书就像一张“入场券”，让软银能获得更多融资来推进项目建设。而OpenAI则承诺租下这些算力——形成“英伟达担保→银行放贷→软银建数据中心→OpenAI租用→采购英伟达芯片”的闭环。
② 项目有多庞大？
项目选址俄亥俄州南部派克县的Portsmouth铀浓缩厂旧址——冷战期间为核武器计划提供武器级铀，2001年关停。软银旗下SB Energy将在此建设10吉瓦发电设施，其中至少9.2吉瓦为天然气发电。10吉瓦大约相当于一座大型核电站的全部输出功率，能满足约800万户美国家庭的用电需求。
项目第一阶段预计2028年完工，提供约800兆瓦电力。整座园区满载预计持续建设至2030年代中后期。
③ 英伟达的角色升级：从芯片供应商到基建银行
此前市场曾传出英伟达缩减对OpenAI千亿级资金支持的消息。早期规划中，英伟达曾考虑1000亿美元的直接投资计划，但因OpenAI推进上市进程而搁置。如今从直接股权注资转向2500亿美元项目融资担保，英伟达不仅大幅提升了资金承诺量级，更在支持方式上实现了实质性升级。
这种模式能规避OpenAI上市前的估值博弈与股权稀释风险，以较低资本占用撬动庞大基建项目，同时通过深度绑定确保OpenAI未来庞大的算力采购订单持续流向英伟达。 这不是投资，是锁定。
④ 质疑：循环融资与泡沫风险
批评人士指出，英伟达通过投资AI公司、为基础设施建设提供支持，可能正在人为制造更高的市场需求，进一步推高AI产业估值泡沫风险。
⑤ 对加密市场的传导
英伟达对OpenAI的2500亿美元担保，本质上是AI基建的进一步加速。对加密市场的影响是间接但深远的。从算力需求看，AI数据中心的扩张正在消耗全球大量电力资源，比特币矿工面临的能源竞争只会加剧。从叙事传导看，科技巨头持续加码AI基建叙事，对AI+Crypto赛道的市场情绪是间接支撑，但对存储芯片等硬件端的短期影响有限——长鑫科技上市、存储股波动仍是更直接的变量。
从“卖铲子”到“当银行”，英伟达正在重新定义自己在AI产业链中的位置。这一模式能否持续，取决于AI的最终需求是否真能填满这些即将建成的数据中心！ 比特币铭文赛道的开山币种ORDI，掀起过一轮轰轰烈烈的铭文大牛市。无数人依靠铭文叙事实现盈利，也吸引大批量散户跟风入场。如今热潮褪去，市场目光不断转向AI、新公链热点。比特币铭文新增流量增速放缓，很难复刻当初全民参与的盛况。依旧坚守等待二次风口的人不在少数，但风口从来不会按照人的预期到来，存量博弈环境下，复刻历史涨幅难度极大。 "Whale Discovery" Million-Yuan Crude Oil Whale Arbitrage Failed, U.S. and Bladenville Crude Oil Reverse Positions Lost $450,000
0xa314 At the start, after a sharp rise in crude oil, the whale shifted its position to go long on WTI and short on Brent, forming a cross-asset paired trade with a total size of about $15 million, possibly anticipating WTI to continue its previous relative strength.
From July 14 to 23, WTI and Brent on Hyperliquid rose about 16.4% and 13.1% respectively, with WTI clearly outperforming. The whale then established about 91,000 WTI long positions and expanded Brent short positions to around 100,000 contracts.
However, after the geopolitical risks cooled, both crude oils fell simultaneously, with WTI dropping slightly more than Brent, and paired trades failed to materialize. Due to the high cost of building long positions in WTI, its losses also exceed the gains from Brent short positions.
As of press time, the whale holds 86,000 WTI long positions and 90,000 Brent short positions, with a total leg value of about $15.1464 million. Among them, WTI long positions had an unrealized loss of about $611,600, and Brent short positions had a floating gain of about $198,000; Combining the previously realized loss of about $45,900 from position reduction and the $15,000 funding rate, the cumulative loss from this round of US crude oil spread trading was about $444,400.
This address does not specialize in crude oil. Records show it initially focused on trading NVDA, DRAM, MU, SNDK and other semiconductor and storage assets, while also participating in stock index contracts like SP500 and XYZ100, with historical profits of $8.6 million#美联储周四凌晨公布利率决议
The Federal Reserve meets this week, with the probability of a rate hike soaring from 13% a week ago to 38%.
① Data
On July 28-29, the Federal Reserve will hold a policy meeting. A week ago, the market thought the chance of a rate hike was only 13%, but now CME data shows the probability of a 25 basis point hike has risen to 36.3%-38%.
More importantly, for September—the probability of keeping rates unchanged is only 19.6%, the probability of a 25 basis point hike is 55.2%, and the probability of a 50 basis point hike is 25.2%. The market has fully priced in a rate hike in September.
However, a Bloomberg survey of 76 economists shows all respondents expect rates to remain unchanged in July. Economists and market traders have completely opposite judgments on the same issue.
② Why has the probability of a rate hike suddenly surged?
Oil prices. During the US-Iran conflict, Brent crude once approached $94. When oil prices rise, inflation expectations rise. When inflation expectations rise, the Federal Reserve is forced to be more hawkish.
Powell’s style. The new chair has clearly stated since taking office—no advance guidance, everything depends on the data. Unlike his predecessor who gave clear signals to the market, the market can only guess probabilities.
Internal division is already happening. The June dot plot shows 9 officials expect at least one rate hike by year-end, with 6 expecting two hikes. The chief economist at Renaissance Macro even bluntly said: "Why not hike now?"
③ What is the market worried about?
Inflation might make a comeback. June CPI did drop to 3.5%, but that was before oil prices surged. With oil prices rising so much in July, next month’s CPI likely won’t look as good.
The labor market is too strong. Initial jobless claims are 187,000, the lowest in seven years. The Fed wants to cut rates, but employment data gives no reason.
④ What does this mean for the crypto market?
BTC has already bounced back to 65,000, and the fear index has risen to 30. If the Fed holds rates steady but signals hawkishness, the market may dip first then rebound. If there’s a surprise hike, BTC could quickly retest 62,000-63,000. If rates hold steady with dovish wording, BTC might challenge 67,000-68,000.
From tonight to tomorrow, fluctuations in Nasdaq futures and US Treasury yields will signal direction earlier than candlesticks. The market is watching what Powell says—whether it will be "hold steady but keep the option to hike" or release a clearer signal. The answer will be revealed early Thursday morning.#财报观察员：微软Meta亚马逊能稳住AI叙事吗？
Recently, many people have been waiting for the earnings reports of Microsoft, Meta, and Amazon. However, I feel that this time the market is less concerned about whether the EPS beats expectations.
Instead, the key question is: Has AI actually started to generate profits?
Over the past year, the AI narrative has driven tech stocks to new highs, but the market's tolerance is declining.
A few days ago, although Alphabet delivered decent results, the market reacted negatively due to the raised expectations for AI capital expenditure (CapEx), sparking concerns about rapid investment with slow returns, which clearly pressured the stock price.
This means the earnings reports of Microsoft, Meta, and Amazon face greater pressure than before.
Microsoft needs to prove that the revenue growth from Azure AI is enough to cover the expanding compute investments; Meta must convince the market that its multi-billion-dollar data center investments will eventually translate into advertising revenue and profits; Amazon has to demonstrate that AWS and AI services can continue growing, not just that capital expenditures keep rising.
I believe this earnings season will be a watershed moment for AI investment logic.
Previously, the market believed in "invest first, profit later."
Now, the market wants to see "after investment, profits have already started."
If all three companies can simultaneously prove that AI investments are continuously converting into revenue, then the entire AI industry chain—GPU, storage, networking, optical modules, and even the Physical AI direction I have been following—stands to benefit further.
But if revenue growth cannot keep pace with capital expenditures, the market may further compress valuations in the AI sector, and even good earnings reports may not lead to stock price increases.
So this week, when I look at earnings reports, my first focus won’t be on EPS but on whether management answers one question: Has AI been falsified, or can it truly bring massive profits? $META One of today's standout tokens: 💥 Euler rose sharply after the information was listed on Upbit KRW, one of South Korea's largest crypto exchanges. Appearing on Upbit often generates big attention thanks to: Korean retail cash flow.
📊 New liquidity from the KRW trading pair.
⚡ FOMO sentiment when the token is accessible to a larger number of users. 🏦 The story behind $EUL Euler is a DeFi protocol focused on: 💰 Lending & borrowing.
⛓️ On-chain asset management.
🔧 Decentralized finance mechanism币安 RLUSD 年化收益率高达 22.25%，但又担心 0.1% 的溢价吃掉收益？
分享一个不用追高买入 RLUSD、也不用担心活动结束后 RLUSD 回落，同样可以参与币安 RLUSD 活动的策略。
核心工具：Euler
目前可以将图中的三种稳定币作为抵押品，在 Euler 借出 RLUSD，再把借到的 RLUSD 存入币安参与活动。
求稳的话，可以优先选择 USDC 作为抵押品。
Euler 和 Morpho 有一个比较明显的区别：
抵押进 Euler 的稳定币本身也可以继续产生收益。
因此，扣除 RLUSD 的借款成本之后，抵押端仍然可以获得约 0.85%—2.65% 的净收益，同时借出的 RLUSD 还能参与币安的活动。目前可用流动性有6.2M 资金容量也不错。
这样做的好处是：
- 不需要顶着 RLUSD 的高溢价买入；
- 不需要承担活动结束后 RLUSD 回落、吃掉理财收益的风险；
- 抵押资产本身还能继续赚取收益
代价就是多了一层Euler的合约风险，以及降低了一点资金效率。
以 USDC 为例，Euler 的 Max LTV 为89%，也就是说，抵押10万美元USDC，最多只能借出约8.9万美元RLUSD，无法做到100%的资金利用率。
不过，由于抵押品和借款资产都是主流稳定币，因此清算风险相对可控。
这套策略本质上是：
牺牲一部分资金效率，换取不追高RLUSD、不承担溢价回落风险，同时保留活动收益。
自用策略分享，不构成投资建议，请一定DYOR #长鑫科技上市，全球存储竞争添变量
Today, Changxin Technology went public, soaring 471% at the opening, feeling like the top of the A-share market.
I want to say this is a milestone step for domestic semiconductors, but it is still far from shaking the pattern of the three giants.
The core significance of Changxin's listing is that it has obtained sufficient ammunition to pursue process technology and expand production capacity, truly breaking the global DRAM "three-company monopoly" into a new pattern of "three strong and one weak." Short-term sentiment is very heated, and the first-day valuation has already overdrawn many performance expectations, so don't blindly chase the high; in the long term, general storage domestic substitution is a definite trend, but the high-end HBM track still lags by 2-3 years, and the real tough battle is yet to come.
Because whether in terms of market value or technology, there is still a considerable gap.
Changxin's listing has rewritten the global storage competition pattern. The long-term logic of domestic substitution is very solid, but the short-term sentiment premium is too high, and the technology gap still needs time to be bridged Crude oil risk premium squeeze and strong employment data intertwine, with the core market conflict on the eve of the Federal Reserve interest rate decision shifting to the macro battle between "cooling inflation" and "prolonged high interest rates."
Geopolitical easing expectations drove crude oil futures $CL to plunge more than 5% intraday, and the decline in energy prices directly lowered short- and medium-term inflation expectations. Meanwhile, initial jobless claims last week fell to 187,000, indicating the labor market remains resilient and strong.
In terms of driving factors, the Federal Reserve FOMC meeting statement forms the primary trading theme, while tech giants' earnings and capital expenditures serve as the secondary liquidity indicator. The crypto fear and greed index rose back to 30, coupled with BTC surpassing the $65,000 mark, indicating increasing market pricing for a soft landing.
The upside scenario requires the meeting to release dovish signals and tech giants' earnings to exceed expectations. If the Fed confirms the downward inflation trend, U.S. stocks and crypto markets will see cross-market liquidity recovery, but attention should be paid to the approximately $900 million FTX compensation starting July 31, which may cause short-term pressure on market chips.
The downside scenario depends on labor market resilience triggering hawkish signals or sudden geopolitical fluctuations. If the Fed emphasizes maintaining high interest rates longer than expected, oil prices $CL will rebound again, and a stronger dollar and U.S. Treasury yields will trigger cross-market risk aversion, with tech stock pullbacks dragging crypto assets down simultaneously.
The failure conditions for these two scenarios lie in a full return of geopolitical risk premiums or an unexpectedly implemented Fed policy shift. Once crude oil regains upward momentum and recovers losses, the cooling inflation logic fails; if jobless claims continue to be lower than expected, delaying rate cut expectations entirely, the macro pricing framework will be reconstructed.
In the next 7 days, key focus should be on the Fed interest rate decision statement early Thursday, changes in tech giants' earnings and capital expenditures, and the actual market absorption capacity of FTX compensation funds flowing in starting July 31.
#新手必看：这里有你需要的一切 #英伟达拟为OpenAI提供2500亿美元担保#美联储周四凌晨公布利率决议 很多人都在猜，这次是维持利率还是加息。
但我认为，比结果更值得关注的是Warsh时代的第一套货币政策逻辑。
鲍威尔时代，市场习惯了通过讲话、点阵图和前瞻指引去提前交易预期；而Warsh上任后，最大的变化就是弱化前瞻指引，让市场重新回到”数据决定政策”。
这意味着，未来市场波动可能会更大。
因为当央行不再提前告诉你答案，资产价格只能不断根据新的经济数据重新定价。
对于BTC、美股AI板块以及风险资产而言，这不仅是一场利率会议，更是一次市场定价机制的转换。
我的交易哲学一直很简单：
交易的不是新闻，而是市场如何消化新闻；交易的不是观点，而是预期如何发生变化。
所以这次会议，我不会急着预测方向，而是重点观察三个信号：
* Warsh如何评价当前通胀；
* 是否继续坚持弱化前瞻指引；
* 市场会不会因此重新定价未来几个月的流动性预期。
真正的机会，往往来自市场认知发生变化的那一刻，而不是利率公布的那一分钟。$ETH Is Changxin's IPO bad news for Samsung, SK Hynix, and Micron? #长鑫科技上市，全球存储竞争添变量
Short term, it's not bad news; long term, definitely yes!!
Today many are discussing Changxin's IPO surge, but I'm more concerned about another thing: will Samsung, SK Hynix, and Micron lose sleep over this?
Changxin's IPO won't reshuffle the global DRAM market overnight. In the AI era, HBM remains the most profitable business for Samsung, SK Hynix, and Micron, and Changxin still has a clear gap to close.
So in the next two to three years, their real competitors remain each other.
But the capital market looks to the future.
The large amount of funds raised by Changxin this time is not just for expanding production but also means more chips for future R&D investment, advanced processes, HBM, and other high-end storage fields.
If global storage competition used to be a "Three Kingdoms Kill" game,
it has now officially become "Three Kingdoms Kill + a rapidly upgrading new player."
I have always focused on Physical AI, so I pay special attention to the storage industry.
Because in the future, whether AI servers, robots, or autonomous driving, they all fundamentally rely on DRAM and HBM.
Whoever can capture the next generation of high-end storage will reap the biggest dividends from the next round of AI infrastructure.
So in my view, the greatest significance of Changxin's IPO is not how much it rose today, but that the global storage industry has for the first time seen a competitor truly worth Samsung, SK Hynix, and Micron's long-term vigilance.
In the next three to five years, I won't change my judgment based on one company's stock price fluctuations, but I will keep watching one indicator:
When will Changxin truly enter the HBM market?
If that day comes, I believe the valuation logic of the global storage industry may be rewritten Guys, CVX rose 5.55% today, currently at $1.387, continuing to recover from the historical low of 1.04 in early July. The logic behind the rise: CVX automatically reinvested at 29% annualized, AbcCVX staking up to 2.5x bonus—staking yields have increased significantly, holders are incentivized to transfer tokens into locked, and the circulating market is passively tightened. Analysts clearly state: once the lock-up curve continues to climb, supply-side scarcity will first be reflected in prices. The total supply cap is 100 million, with a current circulating ratio of about 92%; The original unlock cycle for teams and early investors has ended, but the protocol will continue to slowly add new mints alongside LP mining. Key price levels: Resistance $1.40-$1.42 (break out to $1.45-$1.50), support $1.30-$1.33 (break to $1.20-$1.23). Risk: The sustainability of protocol returns depends on the stability of Curve's TVL, and whether the staking APR can be maintained is key. Recent key indicators to watch—staking APR trends and staking growth rate. For assets that have dropped over 97% from their ATH and whose fundamentals are improving, focusing on value lock growth and staking APR is more important than focusing on candlesticks. Personal market view analysis and market information compilation, not investment advice. $BTC $ETH $CVX #长鑫科技上市, global storage competition adds variables #美联储周四凌晨公布利率决议 #财报观察员: Can Microsoft, Meta, and Amazon hold the AI narrative? $CRWD
Price action is trading around 185.57, holding above dynamic MA5 (184.49), while sitting below MA10 (190.08) and MA20 (193.27).
EP
183.00 - 185.50
TP
190.08
193.27
205.00
SL
179.00
Price pulled back significantly from its recent high of 219.18 and is attempting to bounce off lower support levels around 180.00. Reclaiming MA5 (184.49) provides initial signs of stabilization for a move toward MA10.
Let's go $CRWD
#CXMTMemoryIPO #FOMCRateWatch #AIEarningsWatch ₿ $BTC Volume Profile Update 📊
Is anyone still watching the volume profile? 👀
The $64K level where I mentioned taking profits was not random — it was the Point of Control (POC), the area with the highest traded volume in that range.
Combined with additional confluences, it provided a strong technical reaction zone. 🎯
Volume profile remains one of the most useful tools for identifying:
📌 High-interest price areas
📌 Key support & resistance zones
📌 Potential reaction levels
Price often respects where the most business was done.
Don’t just watch candles — understand where the volume is sitting.
#BTC #Bitcoin #Trading #TechnicalAnalysis #Crypto📰 美伊谈霍尔木兹妥协！特朗普军事牌还攥着，BTC $65,382能冲吗？
事件概述
说白了就是，美国和伊朗正在接触，想把霍尔木兹海峡的通行问题谈拢。全球三分之一的海运石油从这过，谁控制了这里谁就掐住了能源命脉。但特朗普这边军事选项一直没拿掉，相当于一手谈一手亮剑。对币圈来说，至少双方在谈而不是直接开干，短期情绪上是好事。
深度解读
为什么这条新闻重要？
老铁们，霍尔木兹这事不是今天才有的。今年以来伊朗在该区域动作不断，市场一直在怕一个事：万一真封锁海峡，油价飙升，通胀反弹，美联储降息就彻底没戏了。降息预期一旦崩了，币圈流动性直接断崖。
现在美伊开始谈妥协方案，说明两边都不想真打。伊朗经济被制裁搞得够呛，美国也不想在大选年搞出中东全面战争。这是务实的信号。
讲真，今天盘面已经说话了。BTC回到$65,382涨了1.36%，ETH更猛直接$1,955.75涨了3.70%，资金在用脚投票。地缘风险降温 = 避险情绪回落 = 风险资产回暖，这条逻辑链很清晰。
但注意，特朗普说军事选项还在桌上。这不是废话，这是给谈判施压同时给自己留退路。如果谈崩了随时能升级。所以这个利好是有保质期的，别无脑冲。
对市场的影响
短期看，避险资金从黄金和美债里撤出来，部分会进风险资产。ETH今天3.70%的涨幅说明聪明钱已经在抢跑了，跑得比BTC还快，这通常意味着市场风险偏好在快速修复。
中期来看，如果谈判出实质进展，比如伊朗承诺不干扰航运，油价回落 → 通胀预期下降 → 降息预期回来 → 币圈迎来真正的喘息窗口。这条链路是通的，也是我在盯的主线。
但如果谈崩呢？说实话概率不高但不是零。特朗普的操作风格你们懂的，今天谈明天翻脸。真到那一步，BTC可能要回踩$62,000-63,000区间找支撑。
参考2020年初美伊那波冲突，BTC短线上下震荡超过5%，但地缘事件只是短期扰动，不改大趋势本质。这次大概率也是同款剧本——恐慌砸坑，然后V回来。
操作思路
🎯 影响预判
- 币种：BTC / ETH
- 方向：利多📈 预测涨
- 时长：BTC 12小时 / ETH 24小时
💡 短线思路很明确：别空。BTC回调到$63,500-64,000区间如果不破就是接货位，止损放$62,500下方。ETH今天这个走势非常有劲，站稳$1,955.75上方的话下一个目标直接看$2,000整数关口。但仓位控制在五成以内，谈判这东西一天一个说法，留好子弹防黑天鹅。
认同比特币这波反弹逻辑的，点个赞让我看看有多少人跟上节奏了
$BTC $ETH #BTC #ETH
#地缘政治
⚠️ 不构成投资建议，预测仅供参考这道AGLD，简直是后厨里被遗忘的边角料，盘子都凉了——但我在烤箱里闻到了一股回锅肉香！🔥 一小时RSI35.66，就像低温慢煮里最后那三秒的精准出锅温度，再不走火，肉就老了。布林带下轨0.1477贴着砧板滑不溜手，四小时下轨0.1457是备菜台的防滑垫——市场主力正蹲在灶台边偷吃你的止损单呢！
主菜（主流币）现在像隔夜高汤，稳但没惊喜；AGLD这碟“姜葱爆炒肝腰”——价格跌了2.11%，但KDJ（这里指RSI）在35.66这个位置，就像辣椒过油前的青涩阶段，爆炒之后才香。入场0.1431，像切好的腰花要快速滑锅，第一目标0.1563是断生后的脆爽，第二目标0.1580是最后淋上的热油，滋滋作响。止损0.1275，那是你砧板底下垫的湿抹布——千万别让血水沾到辣锅上。
辣度呢？这次我只放了“微辣”——杠杆最多1.5倍，仓位占总资金的5%，像撒一把花椒粉，提香不辣肠。四小时布林上轨0.1580就是锅沿，锅铲懒得碰，烫手。记住：RSI1D还在41.94，像腌了整夜的排骨没完全入味，等小时图翻身再加大火。
这碟菜我准备下锅了，但提醒各位——特辣辣椒罐永远摆在台面上，拿不拿，全看你的手够不够稳。Intraday high of 3.76U, intraday low of 3.3U, current price 3.5u, maximum 24-hour drop of 11.2%; The entire line has broken below the 3.5U support level, leading to a pullback and recovery, with strong bullish support. Five Core Bearish Logic for the July 27 Pullback 1. Short-term speculative heat completely faded, pure sentiment rally without fundamental support (core trigger). The previous day's rally relied entirely on overseas crypto bloggers announcing orders to attract retail investors chasing the highs. On July 27, with no cooperation or version updates, the influencer traffic heat quickly faded, and incremental funds instantly stopped. The project relies solely on a dance mining narrative, with stagnant user growth and no real token consumption scenarios, losing buying support and causing a decline. 2. High-level whales concentrate profit-taking, low liquidity amplifies pullback Liquidity accounts for less than 14%, while the top ten whales hold over 65% of circulating shares, leaving ample room for unrealized gains after rallying. Large players concentrated large selling, weak order depth, and a small number of sell orders could quickly break through key support levels, triggering panic and follow-selling among retail investors, creating a short-term stampede market. 3. Negative IP copyright continues to ferment, market trust declines. The dance IP copyright holder publicly clarified that it has not reached an official cooperation with the BEAT project. The project's false advertising narrative has been exposed, investors are worried about future project delistings and rights protection risks, and many holders panicked and reduced their positions and exited, further intensifying selling pressure. 4. Token long-term unlock expectations suppress, funds hedge long-term inflation risk. The market pre-priced future large-value token unlocks, with community and team shares released linearly over four years, long-term#长鑫科技上市，全球存储竞争添变量
ChangXin Technology IPO: Under the AI computing power wave, a domestic variable emerges in the storage sector
While Google, Microsoft, and Meta are all revealing their AI capital expenditures, the storage sector welcomes a heavyweight player: ChangXin Technology officially listed on the STAR Market, with a first-day market value surpassing 3.3 trillion, becoming an unignorable "fourth pole" in the global DRAM market.
The AI boom has driven hype around computing power, servers, and optical modules, but ultimately cannot bypass the underlying storage chips. ChangXin's listing precisely adds the most critical domestic variable to the global storage landscape in the AI era.
The AI-driven storage market surge, ChangXin capitalizes on a differentiated dividend
In this round of AI computing power explosion, the first beneficiaries were HBM (High Bandwidth Memory), with Samsung and SK Hynix earning huge profits and shifting capacity toward high-end HBM.
However, demand for general-purpose DRAM is also growing—basic memory needs for servers, consumer electronics, and automotive electronics continue to rise. After the three giants moved capacity upward, a supply gap appeared in the mid-tier market. ChangXin accurately positioned itself in this window, rapidly scaling DDR5 and LPDDR5 products, with market share climbing from under 3% to 7.67%, and performance booming accordingly.
This is equivalent to the leading players competing for the high-end, high-margin market, leaving the mid-tier cake to ChangXin—an opportunity granted by the times.
66.6 billion yuan fundraising, expansion + R&D, targeting the next round of competition
This IPO raised up to 66.6 billion yuan, with core investments in two directions:
1. Expansion of 12-inch wafer fabs: continue increasing general DRAM capacity to capture more mid-tier market share, aiming for over 10% market share by 2026;
2. R&D of advanced processes and 3D DRAM: unable to adopt EUV due to equipment constraints, focusing instead on breakthrough 3D DRAM differentiation technology, attempting to overtake on next-generation storage technology to meet future AI storage demands.
Chain impact on AI tech stocks
Upstream equipment and materials chain: ChangXin's expansion will drive orders for domestic semiconductor equipment and material suppliers, further strengthening the domestic substitution logic;
Downstream server/terminal manufacturers: having an additional local supplier means more controllable storage procurement costs and a safer supply chain, a long-term positive for domestic cloud providers and consumer electronics manufacturers;
Storage cycle fluctuations: new capacity deployment may intensify price competition in general DRAM, potentially increasing industry cycle volatility, a double-edged sword for pure storage stocks.
To conclude honestly:
In the AI era, storage is as fundamental as computing power infrastructure. ChangXin's listing is not an end but the beginning of domestic storage's participation in global AI industry competition. The gate for high-end HBM is not yet passed, but at least it is now at the table.BTC 与山寨分化加剧，市场宽度已压缩至极端水平
当前市场是否已进入仅剩少数标的能跑赢的结构性行情？
原文数据表明：在追踪的 100 只山寨币中，上涨/下跌比例仅为 0.3，即每 1 只上涨对应约 3 只下跌。仅 8 只标的出现正向成交量背离，其余 92 只处于持续流出状态。这 8 只分别为 JELLYJELLY、OPG、SLX、LAB、BSB、ALLO、CHIP、ZKP，而 BEAT、EDGE、COAI、TRUMP 等 92 只则普遍承压。数据本身是静态截面，未说明时间窗口，但已足够揭示当前定价结构。
- 市场结构的核心变化：山寨币整体呈现资金净流出，宽度极窄，说明增量资金并未扩散，而是集中在极少数标的。这种环境通常意味着：BTC 和 ETH 若未能带动整体情绪回升，则山寨板块的尾部风险可能进一步释放。
- 传导逻辑：BTC 若维持震荡或小幅上行，可能进一步吸收有限的风险偏好，导致山寨资金继续向少数高动量标的集中，形成"赢家通吃"格局。ETH 若无法突破关键阻力，则山寨轮动逻辑更难以成立。
- 偏多路径：若 BTC 突破近期震荡区间并放量，可能带动流动性溢出至 ETH 及上述 8 只正向背离标的，形成局部反弹。条件是 BTC 日线收盘站稳并伴随现货 ETF 净流入放大。
- 偏空风险：若 BTC 回落或横盘，山寨整体将继续承压，上述 92 只标的可能加速下行。风险信号是 BTC 未突破前高，且山寨上涨/下跌比例持续低于 0.5。
结论：当前市场宽度不支持全面做多山寨，仅少数标的具备独立动量。后续应重点观察 BTC 能否有效突破，以及 ETH 是否出现跟涨迹象，以此判断窄幅结构是否会扩散或收敛。
风险提示：宽度数据是滞后指标，极端值可能预示反转，但也可能延续。Cashtags: $BTC $ETH $JELLYJELLY $ZKP $SLX。#财报观察员：Can Microsoft, Meta, and Amazon Stabilize the AI Narrative? Microsoft, Meta, and Amazon Report Next Week—Is the AI Narrative Losing Ground? Seven Tech Giants Lost $800 Billion Overnight, Crypto AI Concepts Kneel First in Respect
Google just raised its 2026 capital expenditure cap by another $15 billion, with Q2 free cash flow turning negative at $5.9 billion. As a result, on July 23, the seven tech giants evaporated $797 billion in a single day, with Google down 7% and Tesla down 14.5%.
Next week, Microsoft, Meta, and Amazon will release their earnings. The market isn’t just looking at whether revenue beats expectations, but at a single yardstick: You’re spending $190 billion/$145 billion/$200 billion a year—how much gross revenue is Azure/AWS/advertising AI actually bringing back?
Here are the three companies’ key cards:
• Microsoft: FY2026 CapEx guidance around $190 billion, Azure growth still 39%-40%, AI annualized ARR $37 billion (doubling year-over-year), but CapEx-to-revenue ratio is already three times that of the last cloud cycle, with free cash flow forecast cut in half to $25.3 billion
• Meta: CapEx raised to $125 billion–$145 billion, full suite DAP growth hitting the lowest since 2021, AI spending mainly on recommendation ads and self-developed chips, monetization path the most unclear
• Amazon: AWS growth back to 28% (highest in nearly 3 years), but quarterly CapEx $43.2 billion, up 85% year-over-year, annual around $200 billion, free cash flow forecast to remain negative for the full year
The logic is simple:
Chip stocks (NVDA/MU) sell the shovels; cloud giants use the shovels. Now the shovels are selling like crazy, but the users’ cash flow is bleeding—this is the real pricing behind Microsoft -2.3%, Amazon -4.2%, Meta -3.8% on July 24.
What this means for crypto:
Recently, $BTC has been stable, and AI Agent/DePIN tokens have been flying by riding the US stock AI hype, essentially an overflow of the big brothers’ narrative premium. If the big three continue to cut valuations after earnings, the first wave of AI clone concepts to be killed will be those with no revenue, pure narrative, and high FDV. Conversely, if the three companies’ guidance shows Azure/AWS growth plus Copilot paid user numbers holding up, capital will flow back from chips to platform stocks, risk appetite will return, benefiting BTC and mainstream first, and AI clones will get a second wind.
My own market sense:
If BTC doesn’t break 62k and ETH doesn’t break 1600, don’t rush to cut AI clones; but if any of the three continue to raise CapEx or give weak cash flow guidance, don’t get stubborn—delever first. Changxin, creating the impossible in A-shares
122.1 billion
Increase of 471%
Market value successfully tops A-shares
【Pump, Engine】
Short-term withdrawal of some market liquidity, putting pressure on storage concept stocks and some tech stocks
Medium to long-term injection of certain orders and a new valuation anchor into the domestic storage industry chain
Other information
Status:
Changxin is China's largest and most comprehensively laid out integrated DRAM storage chip company, covering DDR4 and DDR5. By Q4 2025, it is projected to be first in China and fourth globally, with a 7.67% share.
However, the top three globally—SK Hynix, Samsung, and Micron—account for over 90%, and Changxin remains a pursuer.
"Financial backers":
The top five shareholders are mainly Hefei, Anhui state-owned assets, and the National Integrated Circuit Industry Investment Fund Phase II. Industrial capital includes Gigadevice, Midea, Xiaomi, Alibaba, and also the National Adjustment Fund.
A trinity of state-owned, industrial chain, and market-oriented capital supports the flagship example of independent and controllable domestic storage.
⚠️ A market value of 3.31 trillion corresponds to revenue of 110 to 120 billion yuan in the first half of 2026, with cumulative losses just expected to be wiped out.
The surge on the first day is more driven by scarcity and the narrative of domestic substitution sentiment pricing rather than current fundamentals.
The milestone significance outweighs performance fulfillment; the real focus is whether it can catch up in market share and technological gap.
#长鑫科技上市，全球存储竞争添变量 【图文观察｜央行周温度】北京时间13:15，金十文章关注：美联储决策从“主席引导”转向“委员博弈”，达成共识难度拉满。
背景摘要：市场不再相信“口头抗通胀”，美债正在逼美联储亮牌。分析师存在两种推演：一是委员会集体推动加息，沃什顺势附和；二是沃什暂时凭借自身影响力按兵不动，但未来仍需加息。
跨资产快照：现货黄金 4,094.57（+1.02%）；欧元/美元 1.1406（+0.33%）；美元/日元 163.56（-0.18%）。黄金、欧元和日元能同时反映利率预期、美元强弱与避险需求，适合作为加密风险偏好的外部温度计。
验证点：若黄金走强而美元同步转强，风险资产更可能承压；若美元回落且美股修复，BTC/ETH更容易跟随风险偏好回暖。
风险提示：央行口径、PCE/CPI或就业数据若超预期，上述跨资产观察需要重新评估。仅作市场观察，不构成投资建议。#Gate.io版临时工
Gate官方持续声称对接我们ALD社区的Robin是冒充人员、骗子，这里有几个无法回避的核心疑问，请正面答复：
1. 如果Robin仅仅是外部骗子、并非Gate工作人员，一名不受官方授权的冒充者，凭什么拥有权限完成Gate Alpha完整上币流程，成功将ALD代币上线平台？
Gate上币具备内部多层审批机制，绝非外部人员可以私自操作。倘若外人随便冒充员工就能完成代币上线，是否证明Gate内部权限管理彻底失控，任何人都能冒充工作人员主导项目上币？
2. 我们按照对接人要求，足额支付上币对应的USDT与ALD。若Robin属于个人欺诈，为何骗子指引我们转账的资金最终流入Gate体系，并且代币如期上线？
普通人实施诈骗，目标是私自侵占资金；而本次资金交割完成后代币成功上架平台，完全不符合普通骗子的作案逻辑。
3. Gate不能简单用“对接人是骗子”单方面撕毁双方达成的上币约定。
代币成功上线Gate Alpha是客观既定事实，交易行为、履约结果真实发生。不能享受项目方缴纳费用带来的收益，同时以“人员冒充”为由拒绝履行全部协议义务。
4. 希望Gate公开本次ALD上线Gate Alpha完整审批链路、内部经手工作人员。
如果Robin无任何官方授权，请解释：一名外部冒充者，是如何绕过全部内部风控、审批，打通上币全流程的？ 这是否意味着Gate Alpha上币渠道存在重大漏洞，所有项目方都面临被虚假人员诱导的风险？$BSP
Price action is trading around 34.82, holding above dynamic MA5 (34.29), MA10 (33.80), and MA20 (33.38).
EP
34.00 - 34.80
TP
36.00
38.87
42.00
SL
32.50
Price has constructed a strong higher-low structure off the 30.04 swing low and reclaimed all dynamic moving averages. Continued hold above MA5 (34.29) keeps price primed to retest the 38.87 high.
Let's go $BSP
#CXMTMemoryIPO #FOMCRateWatch #AIEarningsWatch #财报观察员: Can Microsoft, Meta, and Amazon stabilize the AI narrative? A new round of US stock earnings season is underway, with earnings reports from Microsoft, Meta, and Amazon being released one after another. The market is no longer blindly chasing AI concepts. Funds are asking the question: With sustained massive investment, can AI deliver tangible returns? Can the three giants still hold onto the main theme of AI growth?
First, clarify the differences in AI monetization paths among the three companies
Microsoft: The commercialization path is the clearest
Relying on the Azure cloud + Copilot ecosystem, AI annualized revenue continues to rise, with mature implementation for enterprise clients. The advantage lies in deep integration into the software ecosystem, where AI services can be directly embedded into existing products. The hidden danger lies in the continued increase in computing power infrastructure, with capital expenditures rising and continuously squeezing profit margins.
Meta: AI-empowered advertising is the main battleground
Relying on large models to optimize ad placements and boost content traffic, advertising revenue continues to recover. Self-developed chips reduce computing power costs but lack external cloud computing power sales. AI revenue heavily depends on the prosperity of the advertising market, and the potential for this sector is relatively limited.
Amazon: AWS computing power + self-developed chips dual strategy
AWS is the core supplier of enterprise AI computing power, and orders for Trainium's self-developed chips are steadily increasing. The advantage is a large customer base; The pressure comes from fluctuations in retail business profits, with large amounts of capital continuously invested in data center construction, making it difficult to see rapid profit margin improvements in the short term.
Core contradiction: speed of burning money VS speed of making money
Recently, Google's earnings report has sounded the alarm: a significant increase in AI capital spending, negative free cash flow, revenue beating expectations, and stock prices remain under pressure. Now that Wall Street has uniformly raised its standards, pure revenue growth is no longer enough to attract capital.
Next, the market will focus on two key indicators:
1. Can the growth rate of AI-related business revenue keep pace with the pace of capital expansion;
2. Whether management will raise the full-year capital expenditure guidance again.
Key signals extending to the crypto market
1. Tech giants are the global indicator of risk appetite. If the financial report proves that AI commercialization continues to materialize and sentiment in growth sectors warms up, it will indirectly benefit risk assets like BTC and ETH;
2. If multiple companies collectively raise spending and earnings guidance falls short of expectations, the market will re-question the long-term return rate of AI, valuations of growth stocks will come under pressure, and high-volatility assets will be suppressed simultaneously.
My view: Sector differentiation is now a done deal. Companies that can steadily convert AI into revenue and cash flow will continue to see valuations supported; Targets that only invest and cash out slowly will see their valuations continue to be digested. This round of earnings reports cannot directly kick off a full-blown bull market, but it will set the tone for the technology sector's style in the second half of the year.
What do you think: if the financial reports of the three major players fall short of expectations, will the rebound of mainstream coins be further suppressed?ANGRYMARK! 💸 Capital Map — A portfolio chart that helps you understand a logic behind capital allocation. Appaloosa holds AI platforms, chip manufacturing, and power assets, but the real gap in earnings is the storage cycle represented by Micron, SK Hynix, and SanDisk. David Tepper is a well-known American hedge fund manager and founder of Appaloosa Management, long known for contrarian investing and heavy holdings in cyclical assets. He deserves attention not only for his outstanding past returns, but also because his portfolio often reflects high concentration of holdings, macro judgment, and strict risk control. Observing changes in Tepper's holdings can help investors understand how top funds select a few high-conviction opportunities in a highly volatile market. David Tepper's holdings chart released by Carbon Finance records Appaloosa's portfolio at the end of Q1 2025. At that time, the largest sector was an SPYX put option with a nominal value of 30.03%, followed by $BABA, Alibaba, Pinduoduo, $AMZN Amazon, JD.com, and $META. The options in the chart are calculated based on the nominal value of the underlying asset, so it cannot be directly understood as the fund actually putting up 30% of its funds to short the market. ThisToday is July 27, and this week is the heaviest in the past few months, with four tech giants plus the Federal Reserve's interest rate decision all packed together. The market direction basically depends on these five days.
First, let's lay out the schedule clearly.
Microsoft and Meta are both set for after-market on July 29.
Apple and Amazon are pushed to after-market on the 30th, with an FOMC interest rate decision result coming out in the early morning of July 30 (Beijing time). Currently, the federal funds rate is held at 3.5% to 3.75%.
The market generally expects no change this time, and the dot plot from the end of last year suggests there is only about one rate cut left for the whole year.
In other words, hoping for the Fed to ease to boost valuations is basically a dead end this year.
The real powder keg is a number in the earnings reports: capital expenditure.
These four plus Apple are expected to have combined AI capital expenditures in 2026 exceeding $600 billion, more than 60% higher than last year's historical peak. This scale is already equivalent to the entire annual GDP of Singapore.
The problem is that spending is getting fiercer. Microsoft's 2026 fiscal year capital expenditure guidance is about $190 billion, far above analyst expectations; Meta has raised its guidance to start at $115 billion, nearly double last year. Barclays estimates this will shrink its free cash flow by nearly 90% year-over-year this year.
The market's attitude was already previewed last week. Google's earnings were clearly not bad, but because of the marginal increase in capital expenditure, its stock was still hammered down 4 to 5 points.
This signal is very clear: spending more on AI no longer automatically equals a positive. Investors are starting to pressure these giants to explain when returns will come. The Philadelphia Semiconductor index is heading toward its worst monthly performance since 2022, with money fleeing to industrial and energy stocks in the real economy.
So how to view this week?
Don't focus too much on whether revenue and EPS beat expectations—that's almost guaranteed.
The real things to watch are whether Azure and AWS cloud growth is accelerating, where the free cash flow turning point is, and whether management dares to cap capital expenditures.
Whoever can convincingly turn spending into returns will hold firm; those who can't, like Google's 5% drop last week, is just a trailer. #USStockSuperTopic 币圈天天聊美股、宏观政策、流动性，看得人眼花缭乱。我简单对比了比特币和美国M2货币供应量的数据，得出一个结论：
抛开短期涨跌，美国整体货币供给长期向上，比特币$BTC 的价格中枢也在稳步抬升，二者确实存在长期的联动关系。
M2同比增速在2023年触底后逐步回暖，目前已经回升到5.6%的正增长区间。短期没法靠M2精准预判比特币涨跌，但拉长周期看，美元流动性的松紧，直接影响比特币这类稀缺资产的长期估值。
比特币不只是高波动的投机标的，在大周期里，它对冲法币超发的价值存储逻辑，和全球流动性的绑定程度，远比大家想象得更深。$ETH is showing notable relative strength today.
With Ethereum gaining roughly 3× more than BTC over the past 24 hours, the move deserves attention. The easing of geopolitical tensions has improved overall risk sentiment, but ETH's outperformance appears to be driven more by positioning and capital rotation than by a new fundamental narrative.
Historically, capital often rotates into ETH before the broader altcoin market catches momentum. Whether this is the start of that familiar pattern or simply a short-term catch-up move remains to be seen.
The macro backdrop still calls for caution.
Stronger-than-expected jobless claims data gives the Fed less urgency to cut rates, keeping real yields elevated and limiting the liquidity boost that risk assets typically benefit from.
On top of that, Google and Tesla earnings could have a meaningful impact on broader market sentiment. Any disappointment from major tech names could weigh on the current risk-on environment.
For now, the bounce is encouraging—but I'd prefer to see more confirmation before calling it a lasting trend.
Just my market view, not financial advice.
#DailyOrbit
#CXMTMemoryIPO
#FOMCRateWatch